OPTEC talks this week: multi mega watt wind power / numerics for parameter estimation
Dear OPTEC Members and Friends,
this week we have two OPTEC visitors, a postdoc from the wind power industry (Sebastien Gros),
and a numerical mathematician and experimental design expert from Heidelberg (Le Zhang),
talking on Tuesday at 17:00 and Wednesday at 10:30, respectively, see the abstracts below.
OPTEC Members: please also reserve in your long term agenda
the dates of October 3-4 for "work in progress" meetings of all OPTEC WGs,
and the SAB on October 24, 2011.
Best regards,
Moritz Diehl
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Tue 29 Mar 2011 17:00-18:00, ESAT 00.62
"MMW wind turbine control & modelling of airborne applications"
Dr. Sebastien Gros,
MLS-Control, Glasgow, UK
Abstract
As they grow in size and power, the dynamics of multi-megawatts (MMW) wind turbines become more intricate and complex, resulting in new control challenges. In the first part of this presentation, the dynamics specific to MMW wind turbines together with the classical control solutions will be briefly presented. The more specific problem of emergency shut-down procedures and an optimization-based solution to fatigue reduction will be detailed. In the second part of this presentation, two specific airborne applications (a rotary-wing UAV and a large-aspect ratio aircraft) and the adopted modelling approaches will be briefly presented.
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Wed 30 Mar 2011 10:30-11:30, ESAT
"Parameter estimation and optimum experimental design with an adaptive method of lines"
Le Zhang, University of Heidelberg
This talk is about the utilization of an adaptive method of lines, so-called moving finite element method (MFEM), in the context of optimization with time-dependent partial differential equation systems as constaints, which may exhibit a high degree of spatial transition. The talk will be divided into two main parts. In the first one I will introduce the basic idea and mathematical theory of MFEM. Subsequently in the second part some selected numerical tests will be presented in the fields of simulation, parameter estimation and optimum experimental design, respectively.
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